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CHECK BIO FOR LINK!!! Apple's CLaRa system fundamentally reimagines RAG architecture by solving the semantic similarity problem that plagues traditional retrieval systems. Standard RAG approaches chunk documents, create static embeddings, and hope queries match semantically similar content—a critical flaw that forces workarounds like HyDE and query decomposition. CLaRa eliminates this by transforming documents into Memory Tokens: compressed representations of pure content stripped of filler and
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@ashnagray got me a flower and she put it in my hair but then we were running and I lost the flower and she got mad with me but then later I found a similar flower and put it in her hair and then she was happy again but then she lost the flower too so now we’re both sad. Also @runalih did a terrible job filming this #sedona
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